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Paper Citation Record · LEDGER

Towards Tight Convex Relaxations for Contact-Rich Manipulation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2402.10312.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2402.10312 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:46:27.552224Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 960edd49-fea2-40d7-83bc-f862d9aa7992 · inbound

ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation cites this paper.

ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation Towards Tight Convex Relaxations for Contact-Rich Manipulation

Reference 71

Resolution
verified exact
arxiv_id, observed 2026-05-16T08:25:18.012322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T08:25:17.847571Z digest=sha256:adf70488e5e062e45bda72c0dbf9961d9ed7d25116a5f49eb71feeaa7cabb911

Observation cb886338-258f-4ace-83d9-bd8c71763e69 · inbound

Towards Solutions of Manipulation Tasks via Optimal Control of Projected Dynamical Systems cites this paper.

Towards Solutions of Manipulation Tasks via Optimal Control of Projected Dynamical Systems Towards Tight Convex Relaxations for Contact-Rich Manipulation

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T17:46:27.552224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:46:27.552224Z digest=sha256:af3cc7eb9b706fc441c6c0182effb7541cc4c838e9e4d7dbbe820355e30a4fc6

Observation f616178c-085c-4778-bc94-624a2f6dd5cf · inbound

On the Surprising Robustness of Sequential Convex Optimization for Contact-Implicit Motion Planning cites this paper.

On the Surprising Robustness of Sequential Convex Optimization for Contact-Implicit Motion Planning Towards Tight Convex Relaxations for Contact-Rich Manipulation

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-09T16:50:20.980556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T16:50:20.980556Z digest=sha256:6b84651ca117255f33db4ee52d1dd1f6316ce08535be51034b23a00fe914bbff

Observation b985ed5e-823b-4554-b6f1-af90b2b50897 · inbound

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations cites this paper.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations Towards Tight Convex Relaxations for Contact-Rich Manipulation

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-09T11:04:28.192887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:04:28.192887Z digest=sha256:bce87dd973c64ce6c12d018e16445a9633992eff9d3611f8b4c51a0dce46cc48

Observation 0529029c-6a2d-4f58-8a37-69a9919eb9eb · inbound

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing cites this paper.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Towards Tight Convex Relaxations for Contact-Rich Manipulation

Reference 84

Resolution
verified exact
arxiv_id, observed 2026-05-20T20:18:59.443248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-20T20:15:44.030714Z digest=sha256:147eb8c7669d16db043155a1733c472d95f8ff00c87aba58b0a2b8d366774291

Observation f42ff6ac-973d-46a3-ad64-24a28bc94dd5 · inbound

A Framework for Motion Planning with Temporal Logic Precedence Specifications via Augmented Graphs of Convex Sets cites this paper.

A Framework for Motion Planning with Temporal Logic Precedence Specifications via Augmented Graphs of Convex Sets Towards Tight Convex Relaxations for Contact-Rich Manipulation

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T20:36:12.401108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T18:13:52.404253Z digest=sha256:3b2f0d910cd17190777b9c858b263c53064a3a2854a1f2d3d27005dcc446f735

Observation f16daabe-ab48-44da-ab5a-8b64c610a3b6 · inbound

Ambient Diffusion Policy: Imitation Learning from Suboptimal Data in Robotics cites this paper.

Ambient Diffusion Policy: Imitation Learning from Suboptimal Data in Robotics Towards Tight Convex Relaxations for Contact-Rich Manipulation

Reference 74

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:37:57.327348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T09:52:38.167538Z digest=sha256:2dc95c0c80c55ba9537bf0809ccd6a9f8b1e0871ed1ebd881b41c7857d150caa

Observation 6e7a796e-6d45-460e-a195-92c2244e02fd · inbound

Search-Based Spatiotemporal and Multi-Robot Motion Planning on Graphs of Space-Time Convex Sets cites this paper.

Search-Based Spatiotemporal and Multi-Robot Motion Planning on Graphs of Space-Time Convex Sets Towards Tight Convex Relaxations for Contact-Rich Manipulation

Reference 74

Resolution
verified exact
arxiv_id, observed 2026-07-02T11:56:54.803947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-02T11:55:26.547792Z digest=sha256:9961a134372bbee6203b8870788a22442c21701e945bbc20cd2fec5fe6dbed8f